46 citations · 104 across the 35 of their papers we have counts for
4 papers · 1 filter
Yaps: Python Frontend to Stan
Guillaume Baudart, Martin Hirzel, Kiran Kate +2
Stan is a popular probabilistic programming language with a self-contained syntax and semantics that is close to graphical models. Unfortunately, existing embeddings of Stan in Pyt…
Sub-O(log n) Out-of-Order Sliding-Window Aggregation
Kanat Tangwongsan, Martin Hirzel, Scott Schneider
Sliding-window aggregation summarizes the most recent information in a data stream. Users specify how that summary is computed, usually as an associative binary operator because th…
Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming
Guillaume Baudart, Javier Burroni, Martin Hirzel +2
Stan is a probabilistic programming language that is popular in the statistics community, with a high-level syntax for expressing probabilistic models. Stan differs by nature from…
Deep Probabilistic Programming Languages: A Qualitative Study
Guillaume Baudart, Martin Hirzel, Louis Mandel
Deep probabilistic programming languages try to combine the advantages of deep learning with those of probabilistic programming languages. If successful, this would be a big step f…